linkedin
R&D Engineer
Eyeline
Vancouver, CAN
Full Time
Mid
Yesterday
PythonC++Computer VisionMachine Learning3D Gaussian SplattingNeRF
Free
Job Fit Check
Base Career helps you apply smarter for this job.
?%
Ready to ScanKey skills for this role
PythonC++Computer Vision
About the Role
Eyeline Labs seeks an R&D Engineer to bridge research and production by transforming novel ideas and open-source technologies into practical tools for filmmaking.
Key Skills for This Role
PythonC++Computer VisionMachine Learning3D Gaussian SplattingNeRF
Responsibilities
- Translate novel research, experimental techniques, and open source tools into functional prototypes and working demonstrations
- Rapidly develop plugins, scripts, and lightweight tools for evaluation within production environments and creative software
- Integrate experimental solutions into existing pipelines through wrappers, connectors, or proof of concept implementations
- Evaluate emerging technologies by building targeted prototypes that validate feasibility, performance, and usability
- Collaborate with research, engineering, and artist teams to interpret requirements and refine technical solutions
- Design and implement structured testing workflows to assess new tools against real production scenarios
- Gather feedback from artists and stakeholders to iterate quickly on prototypes
- Maintain awareness of relevant research publications, open source developments, and emerging industry tools
- Document prototypes, workflows, and evaluation outcomes to support decision making and future productization
- Help implement data preparation and validation pipelines for multi view and video datasets, including synchronization, metadata handling, and quality checks
Requirements
- Strong software engineering background with experience in rapid prototyping
- Proficiency in Python and C++
- Strong experience with computer vision and machine learning architectures
- Experience with 3D Gaussian Splatting, NeRFs, or other radiance field based methods, including training and evaluation
- Practical experience training or fine tuning video diffusion or related generative models on custom datasets
- Hands on experience with multi view camera calibration
- Ability to quickly understand and implement research concepts
- Familiarity with open source ecosystems and collaborative development practices
- Strong debugging and problem solving skills
- Ability to make pragmatic trade offs between cutting edge research and what’s feasible on production timelines
Full Job Posting
The Opportunity
- We are seeking an engineer who thrives at the intersection of research, open source innovation, and production workflows.
- This role focuses on rapidly transforming novel research ideas, experimental algorithms, and emerging open source technologies into practical tools, plugins, and prototypes for real world creative and production environments.
- The ideal candidate is a builder and problem solver, comfortable navigating ambiguity, quickly validating technical feasibility, and creating functional prototypes.
Key Responsibilities
- Translate novel research, experimental techniques, and open source tools into functional prototypes and working demonstrations.
- Rapidly develop plugins, scripts, and lightweight tools for evaluation within production environments and creative software.
- Integrate experimental solutions into existing pipelines through wrappers, connectors, or proof of concept implementations.
- Evaluate emerging technologies by building targeted prototypes that validate feasibility, performance, and usability.
- Collaborate with research, engineering, and artist teams to interpret requirements and refine technical solutions.
- Design and implement structured testing workflows to assess new tools against real production scenarios.
- Gather feedback from artists and stakeholders to iterate quickly on prototypes.
- Maintain awareness of relevant research publications, open source developments, and emerging industry tools.
- Document prototypes, workflows, and evaluation outcomes to support decision making and future productization.
- Help implement data preparation and validation pipelines for multi view and video datasets, including synchronization, metadata handling, and quality checks.
Qualifications
- Strong software engineering background with experience in rapid prototyping.
- Proficiency in Python and C++.
- Strong experience with computer vision and machine learning architectures.
- Experience with 3D Gaussian Splatting, NeRFs, or other radiance field based methods, including training and evaluation.
- Practical experience training or fine tuning video diffusion or related generative models on custom datasets.
- Hands on experience with multi view camera calibration.
- Ability to quickly understand and implement research concepts.
- Familiarity with open source ecosystems and collaborative development practices.
- Strong debugging and problem solving skills.
- Ability to make pragmatic trade offs between cutting edge research and what’s feasible on production timelines.
- Passion for movies, TV, and storytelling (Preferred).
- Familiarity with VFX/animation data formats and pipeline technologies (USD, OpenEXR, OCIO, etc.) (Preferred).
Salary Range
- 130 000 200 000$ CAD a year.
- This salary range is specific to applicants applying to our position in Vancouver, BC.
- To determine your base salary, we consider your qualifications, skills, and experience.
About Us
- Eyeline is a global creative studio partnering with storytellers to turn their ambitions into stunning reality.
- Our three pillars VFX, Studios and Labs form the creative spine of Eyeline.
- With the support of Netflix’s investment in our pipeline, infrastructure, and workforce, we’re pushing the boundaries of what’s possible in visual effects and virtual production technology.
Apply for this job in 1 click
Skip the repetitive application forms
Install the Base Career Chrome Extension and autofill job applications across major job boards with your profile.
Trusted by over 500,000 job seekers on Base Career